文远知行AI Simulation实习生 - （2027届-可转正）

As an AMD [intern/co-op], you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next. JOB DETAILS: Location: Shanghai Onsite/Hybrid: This role requires the student to work at least 3 days/week Duration: 2026/01 - 2026/06 WHAT YOU WILL BE DOING: We are seeking highly motivated <Role> Engineering intern/co-op to join our team. In this role – 1. Design for Test (DFT) RTL design and coding quality (CDC/LEDA) improvement. 2. Scan insertion, DRC clean, ATPG and pattern simulation 3. Support synthesis owner to fix DFT related netlist issues 4. Work with architect and designer to develop test plan.

美图影像研究院(MT Lab)专注于计算机视觉、深度学习与计算机图形学等前沿算法的研究与应用。我们为美图产品提供核心技术支持。团队汇聚顶尖人才，致力于推动影像技术的突破，让科技与艺术美好交汇。 MT Lab focuses on R&D of cutting-edge algorithms in CV, deepearning, and computer graphics. We provide core technicalsupport for Meitu products.Our team of top talent is dedicated to advancing imagingtechnology, beautifully merging science and art. 岗位名称：计算机视觉实习生 工作地点：深圳 主要岗位方向： ● 计算机视觉和机器学习 ● 多模态的图片及视频生成 ● 数据分析，质量监控和数据处理 岗位职责： ● 搭建并运行生成式模型的推理流程，用于多样化视频数据的生成 ● 参与设计和渲染合成视频场景，提升数据的多样性与覆盖度 ● 开发自动化脚本和工具，支持数据生成、处理和结构化管理 ● 协助构建高质量视频数据集，为后续的模型训练与评估提供支持 ● 团队成员协作，解决模型与数据相关的问题，并进行实验性分析与对比

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WeRide.ai is looking for an Engineering Tech Lead to join our Simulation team and help build the next generation of autonomous driving Simulation Engine, Algorithm and Modeling. What you will do: 1.Oversee WeRide’s Simulation direction, lead and grow algorithm team in this scope 2.Define roadmaps, drive technical projects and provide leadership in an innovative and fast-paced environment. 3.Design, implement and optimize existing and next-generation of Simulation Algorithm and Modeling, including agent (vehicle/pedestrian/cyclist/…) behavior modeling, evaluation modeling and scenario-based data mining. 4.Build tools and automation pipelines to process large-scale real-world traffic data for model training. 5.Work across teams to facilitate safe and fast iteration of the autonomous driving software components: perception, motion planning, control, localization, and other.